maps and the geospatial revolution: lesson 3, lecture 1
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These are the slides to accompany the first lecture from Lesson 3 of Maps and the Geospatial Revolution on Coursera. www.coursera.org/course/maps/TRANSCRIPT
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Maps and the Geospatial Revolution
Lesson 3 – Lecture 1
Anthony C. Robinson, Ph.D Lead Faculty for Online Geospatial Education John A. Dutton e-Education Institute Assistant Director, GeoVISTA Center Department of Geography The Pennsylvania State University
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Where are we now?
• Locating things used to be very difficult, and it was done using time-intensive methods that weren’t very accurate
• You probably associate location technology with GPS –
– Global Positioning System, built by the U.S. military starting in the 1970’s
– Not invented by Apple or Google, believe it or not
• GPS is one example of a Global Navigation Satellite System (GNSS)
– Others include the Russian GLONASS and EU Galileo system
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Where are we now?
• It’s already common for consumer devices to use GNSS to derive locations
– Often augmented with wifi hotspots and other signals
that combined can improve accuracy and coverage
• Consumer-grade stuff can locate positions to within a few meters, but they can be off by hundreds of meters in poor conditions
• Professional systems are used for surveying property lines and other serious geo-tasks
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Where are we now?
• A GPS-enabled device can give you a point location defined by latitude and longitude coordinates
– My desk at home is 40.77004, 77.896744
• If I walked around my yard collecting multiple points, I could
create a polygon that represents the property I own
• If I collected points in a row between my couch and the fridge, I’d have a line feature
• Points, lines, and polygons are the primary forms of spatial vector data
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The Earth from Above
• Virtual globe tools like Google Earth have made images of the Earth easily accessible
• Most geographic image data comes from satellites and airborne sensors, but you can even make your own DIY Drone now
• Geographic image data is raster data, which captures information by assigning values to cells in a grid
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The Earth from Above
• The size of raster grid cells determines how much resolution you have for the image
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The Earth from Above
• The science and technology associated with imaging the Earth is called Remote Sensing
• It’s not just photographs – it can involve the use of lasers (LIDAR) and infrared sensors
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The Earth from Above
Source: Science@NASA: http://science.nasa.gov/science-news/science-at-nasa/2011/16may_groundtracks/
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Source: USGS: http://coastal.er.usgs.gov/hurricanes/sandy/lidar/
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Source: USGS: http://coastal.er.usgs.gov/hurricanes/sandy/lidar/
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Maps and the Geospatial Revolution www.coursera.org/course/maps Twitter @MapRevolution Online Geospatial Education @ Penn State www.pennstategis.com
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